What is a multi-model database?
A multi-model database is a single, integrated data platform that can store, access, and process different types of data to carry out multiple tasks. With a multi-model database, you can unify various data types and models into a single solution, without having individual technologies for each specific purpose.
SAP believes that a single, integrated suite of solutions is more beneficial than having individual technologies for each specific purpose. The resulting patchwork solutions lead to silos that hamper business agility and innovation. A unified multi-model data platform can help overcome these challenges.
of decision makers
want to better leverage data insights for decision-making and automated processes.
different data types
on average are used by organisations to support business-critical initiatives.
require technology patchworks to support initiatives involving diverse data.
SAP is Recognised as a Leader in The Forrester WaveTM: Multimodel Data Platforms, Q3 2021
Read the full report and discover how multimodel platforms help organisations deliver real-time, consistent, and trusted data to support new business requirements.
Why smart multi-model processing in SAP HANA Cloud?
Harness the value of all types of data with one solution
Leverage our single, unified multi-model database that stores, processes, and analyses geospatial, graph, JSON document, and more.
Gain situation awareness by analysing diverse data in context
Access real-time advanced analytics on any type of data, at rest and in motion, while simultaneously processing transactions.
Enhance processes by adding intelligence to your applications
Achieve superior synergy with SAP applications and operationalize machine learning across data types.
Democratize innovation with best practices and flexibility
Get faster results with best-in-class algorithms and open standards in cloud, on-premise, or hybrid environments.
Store, process, and analyse various data types and models in SAP HANA Cloud
Explore smart multi-model data types and models
Supercharge your business applications with spatial analytics from SAP HANA
Find out how you can use spatial analysis to get greater insight into your data to make smarter and faster decisions, save time and money, and increase revenue.
SAP HANA as an enterprise geodatabase
Discover how SAP HANA provides real-time geo-enabled analytics across huge volumes of spatial and business data, and how you can benefit from SAP HANA as the Esri ArcGIS enterprise geodatabase in cloud, on-premise, or hybrid deployments.
Highly connected data processing in real time
Learn how SAP HANA speeds data-driven decisions and actions. As the data foundation of SAP Business Technology Platform, SAP HANA delivers enterprise-class graph data processing capabilities to analyse highly complex relationships in the context of your business data.
Learning resources for graph in SAP HANA
Discover the powerful graph engine in SAP HANA that allows analysing complex relationships in business data stored in the SAP HANA database. Here is a comprehensive overview of the most recent enablement materials on the topic.
Get started with tutorials
Follow the beginners’ tutorials on our Developer Center and get first hands-on experience with graph capabilities in SAP HANA.
Document Store for JSON documents guide
The Document Store in SAP HANA is a feature you can use to store JSON artifacts and perform all standard operations on JSON documents, such as filtering, aggregation, and joining JSON documents with SAP HANA column or row store tables.
SAP HANA machine learning overview
SAP HANA supports a comprehensive environment for machine learning. View the main features available.
SAP HANA machine learning resources
Machine learning capabilities have continuously evolved over time. Explore our hands-on tutorials, background information, and updates on recent enhancements.
Gain business value from embedded machine learning in SAP HANA
Discover how SAP HANA can provide you with the right technology for your machine learning initiatives.
Getting started with SAP HANA Cloud
Learn the latest features and discover how to get started with Predictive Analysis Library (PAL) and Automated Predictive Library (APL) in SAP HANA Cloud.
Hands-on tutorial: APL in SAP HANA Cloud
Learn how to automatically train machine learning models within SAP HANA Cloud without extracting the data and how to use SAP HANA Python Client API for ML to trigger the required calculations in the SAP HANA Cloud straight from your preferred Python environment.
Performing data science with SAP HANA Cloud
Learn how data scientists from Python can leverage embedded machine learning, spatial, and other advanced processing capabilities in SAP HANA.
Enterprise search developer guide
Enterprise Search allows you to search all structured data in an app in a unified way and contains tools for creating and changing search models.